CVApr 5, 2018

Markerless Inside-Out Tracking for Interventional Applications

arXiv:1804.01708v33 citations
Originality Incremental advance
AI Analysis

This addresses line-of-sight issues in medical instrument tracking for interventional applications, though it is incremental as it adapts existing SLAM methods to a specific domain.

The paper tackled the problem of tracking medical instruments in interventions by proposing a markerless inside-out tracking system using visual SLAM, achieving results comparable to commercial optical tracking systems in transrectal ultrasound compounding of the prostate.

Tracking of rotation and translation of medical instruments plays a substantial role in many modern interventions. Traditional external optical tracking systems are often subject to line-of-sight issues, in particular when the region of interest is difficult to access or the procedure allows only for limited rigid body markers. The introduction of inside-out tracking systems aims to overcome these issues. We propose a marker-less tracking system based on visual SLAM to enable tracking of instruments in an interventional scenario. To achieve this goal, we mount a miniature multi-modal (monocular, stereo, active depth) vision system on the object of interest and relocalize its pose within an adaptive map of the operating room. We compare state-of-the-art algorithmic pipelines and apply the idea to transrectal 3D Ultrasound (TRUS) compounding of the prostate. Obtained volumes are compared to reconstruction using a commercial optical tracking system as well as a robotic manipulator. Feature-based binocular SLAM is identified as the most promising method and is tested extensively in challenging clinical environment under severe occlusion and for the use case of prostate US biopsies.

Foundations

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